AWS Lake Formation vs Amazon Redshift comparison

Amazon Redshift and AWS Lake Formation are both solutions in the Cloud Data Warehouse category. Amazon Redshift is ranked #9 with an average rating of 7.9, while AWS Lake Formation is ranked #8 with an average rating of 8.1. Amazon Redshift holds a 6.9% mindshare in CDW, compared to AWS Lake Formation’s 4.7% mindshare. Additionally, 87% of Amazon Redshift users are willing to recommend the solution, compared to 85% of AWS Lake Formation users who would recommend it.

Amazon Redshift

Read 72 Amazon Redshift reviews

3,547 Views
2,483 Comparison Views

87% willing to recommend

AWS Lake Formation

Read 21 AWS Lake Formation reviews

1,610 Views
1,385 Comparison Views

85% willing to recommend

Amazon Redshift

AWS Lake Formation

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 4, 2026

Amazon Redshift and AWS Lake Formation compete in the cloud data management and analytics space. Redshift appears to have an advantage in handling large-scale analytical workloads due to its distributed architecture and advanced storage technology, whereas Lake Formation shines in data governance and seamless integration within AWS services.

Features: Redshift offers extensive scalability, supporting petabytes of data, and its distributed architecture enables fast query performance. It also supports multiple file formats and includes security features like VPC configuration. AWS Lake Formation specializes in comprehensive data management and governance, providing data cataloging, backup, and security policy enforcement.

Room for Improvement: Redshift users point out the need for enhancement in large dataset restores and express the desire for improved real-time integrations and ETL processes. Expanding SQL function support is also suggested. Lake Formation could improve integration with non-AWS services and enhance audit and governance capabilities, alongside making its pricing more competitive and refining access controls.

Ease of Deployment and Customer Service: Redshift is used widely in cloud environments, offering easy deployment but occasionally inconsistent support experiences. Extra payment is often required for advanced support. Lake Formation integrates smoothly with AWS services, easing deployment. Although AWS support is generally well-received, it could improve in accessibility and responsiveness.

Pricing and ROI: Redshift is considered cost-effective when scaling is needed, although costs can rise with increased storage and compute usage. Lake Formation's pricing is complex due to dependencies on other AWS services, and while competitive, the overall cost of the AWS ecosystem must be considered. Both solutions offer good ROI potential, but careful management of large datasets and service integration is crucial to maximizing value.

To learn more, read our detailed AWS Lake Formation vs. Amazon Redshift Report (Updated: February 2026).

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Ranking in Cloud Data Warehouse

9th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Database Management Systems (DBMS) (8th)

AWS Lake Formation

Ranking in Cloud Data Warehouse

8th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 6.9%, down from 7.0% compared to the previous year. The mindshare of AWS Lake Formation is 4.7%, down from 5.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
AWS Lake Formation	4.7%
Amazon Redshift	6.9%
Other	88.4%

Cloud Data Warehouse

Featured Reviews

Pavan Kum

Analyst at Cepstrum(EEE Students Society), IIT Guwahati

Handles large data efficiently but initial setup can be complex

The most valuable features of Amazon Redshift include everything being integrated within Amazon, making it really easy to run queries faster, allowing us to retrieve data as soon as possible compared to other tools. Its friendly functionality connects with all tools linked to Amazon, and the data retrieval is very fast, making it a good warehousing tool. The specific features of Amazon Redshift that are beneficial for handling large data sets include fast retrieval due to cloud services and scalability, which allows us to retrieve data quickly. Scalability is the best feature of Amazon Redshift. Amazon Redshift handles scalability automatically, so we do not need to scale up or down; it is all managed by Redshift.

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Ciro Baldim Guerra

Sr Analytics Engineer at Itau Unibanco S.A.

Has improved data governance by enabling clear ownership and structured access across teams

In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is very easy to dump data into the tool."

"With the APIs that are available, it can be easily integrated with other tools."

"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."

"It allows you write complex queries and perform row by row processes."

"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."

"The initial setup is easy."

"Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift."

"The stability of Amazon Redshift is good."

More Amazon Redshift pros

"The solution has many features that are applicable to events such as audits."

"We use AWS Lake Formation typically for the data warehouse."

"In the shortest form, what I appreciated about AWS Lake Formation was that the schema definition and data cataloging were quite good."

"We have observed measurable benefits in terms of cost savings, time savings, resource savings, and efficiency improvements in our workflows."

"There is no doubt that this place exceeded my expectations with its incredible ambiance, attentive service, and mouthwatering menu."

"The most valuable features of AWS Lake Formation were the access model itself, as it allows implementation of filters, Blueprints, and row-level and column-level security to mask data that shouldn't be accessed by certain entities, enabling granular control without exposing PII data."

"AWS Lake Formation significantly improves the structure of the data mesh, making it superior to previous structures we used."

"We use this to reduce latency from minutes to seconds, as we aim for real-time visibility into patient healthcare monitoring."

More AWS Lake Formation pros

Cons

"For people who struggle with IAM or role-based management, the setup isn't easy."

"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues."

"In our experiments, the handling of unstructured data was not very smooth."

"Should be made available across zones, like other Multi-AZ solutions."

"The initial deployment was complex."

"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."

"The refreshment rate of data reaching Redshift from other sources should be faster."

"It is not easy to deal with queries in Amazon Redshift and see the same data."

More Amazon Redshift cons

"The initial onboarding process is challenging because creating a plan takes a month to a month and a half to build out."

"It falls short when it comes to more granular access control, such as cell-level or row-level entitlements which is a significant drawback for organizations that require precise control over who can access specific rows of data."

"Lake Formation could enhance its capabilities in audit logs, real-time monitoring, and advanced data governance."

"Information about the pricing, cost, and setup cost of the AWS solutions would be beneficial."

"Despite following official documentation, configuration problems persisted, requiring weeks of support from multiple AWS engineers to resolve."

"I haven't seen any measurable benefits from using AWS Lake Formation, such as time saving, resource saving, or efficiency improvements."

"Athena can be a bit clunky when writing queries, indicating a potential enhancement point for easier user interaction with query tools such as DataGrip using provided driver JARs."

"I think AWS Lake Formation could improve by enforcing the least privilege by design, moving from ad hoc grants to role-based access controls."

More AWS Lake Formation cons

Pricing and Cost Advice

"The product is cheap considering what it provides; I rate it five out of five for affordability."

"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."

"The cost will depend on how you set up your warehouse and what kind of data you store."

"It is an expensive product."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."

"The cost must be improved."

More Amazon Redshift pricing and cost advice

"AWS Lake Formation is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

10%

Media Company

Financial Services Firm

22%

Computer Software Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	28

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	15

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

See all answers

What is your experience regarding pricing and costs for AWS Lake Formation?

I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...

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What needs improvement with AWS Lake Formation?

Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...

See all answers

What is your primary use case for AWS Lake Formation?

My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 16% of the time

Teradata vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 7% of the time

IBM Db2 Warehouse vs Amazon Redshift

Compared 6% of the time

OpenText Analytics Database (Vertica) vs Amazon Redshift

Compared 6% of the time

More Amazon Redshift Competitors

Azure Data Factory vs AWS Lake Formation

Compared 15% of the time

Databricks vs AWS Lake Formation

Compared 14% of the time

Snowflake vs AWS Lake Formation

Compared 14% of the time

BigQuery vs AWS Lake Formation

Compared 8% of the time

Amazon EMR vs AWS Lake Formation

Compared 6% of the time

More AWS Lake Formation Competitors

Product Reports

Buyer's Guide

Amazon Redshift

February 2026

Download Amazon Redshift product report

Buyer's Guide

AWS Lake Formation

February 2026

Download AWS Lake Formation product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

Amazon Web Services (AWS)

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

February 2026

Free Report: AWS Lake Formation vs. Amazon Redshift

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